Mathematics in remote sensing: based on the proceedings of a conference organized by the Institute of Mathematics and its Applications on Mathematics and its Applications in Remote Sensing held at Danbury, Essex, in May 1986
This volume presents an up-to-date survey of the mathematical techniques of use in the generation of data and extraction of information from satellite observation. It presents a state-of-the-art account of what is possible with today's mathematical tools and offers a perspective on the capabilities of future remote sensing systems.
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Problems in passive remote sensing of the Earths land
Errors and uncertainties in feature recognition by
The dynamics of Braggscattering waves on the sea surface
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algorithms amplitude angle application approximation assimilation assumed backscatter binary relations classification coherent complex component computer vision contextual correlation function cross—section defined detection digital image distribution Doppler effect equation error estimate example field Figure filter Fourier transform frequency Gaussian Geographic Information Systems given graph gravity waves greyscale identify IEEE Trans image processing integral intensity inverse labelling Landsat lattice linear long waves long—wave Longuet—Higgins mathematical measurements method noise nonlinear normalised observations ocean operator parameters Pattern Recognition pixels point spread function polygons problem properties quadtree radar Radon space Radon transform random reconstruction region relation remote sensing resampling rough surface sample values SAR image satellite scattering scene sea surface SEASAT segments sensor short waves simulation space spatial speckle spectral spectrum specular statistics structure techniques tesseral texture theoretical theory tile vector wavelength wavenumber zeros